Beam-Park-Experiment-1/2000 with TIRA

A monostatic 24-h debris observation campaign (BPE-1/2000) has been prepared and conducted using FGAN's TIRA L-Band system. Based on experiences from previous Beam-park experiments a similar largely automated data processing is applied on an extended range window of 300–2000km. More than 1500 detections are encountered, 471 of them are verified as being real objects in Low-Earth-Orbit (LEO). PROOF's observation forecasting of catalogued objects is evaluated against the observed objects, and the difficulties obtaining radar cross-sections (RCSs) and object sizes from Beam-park experiments are discussed. Sidelobe detections are identified by using background information like two-line element (TLE) sets and/or catalogued RCSs.In comparison with previous experiments, the statistics show similarities confirming the concept of Beam-park experiments for space debris observations, despite the snapshot character of 24-h experiments. The comparison with MASTER/PROOF'99 and ORDEM2000 leads to a reasonable agreement between models and observations.     

关于虚拟现实技术在学科建设及教学中的应用

虚拟现实技术是运用计算机对现实世界进行全面仿真的技术。虚拟现实技术在教育领域的应用开创了教学新途径。本文阐述了虚拟现实技术的基本含义 ,并从多角度对虚拟现实技术在学院学科建设和现代教学的应用等问题进行了探讨     

Space Weather applications with CDPP/AMDA

AMDA (Automated Multi-Dataset Analysis), a new data analysis service, recently opened at the French Plasma Physics Data Center (CDPP). AMDA is developed according to the Virtual Observatory paradigm: it is a web-based facility for on-line analyses of space physics. Data may come from its own local database as well as remote ones. This tool allows the user to perform classical manipulations such as data visualization, parameter computation and data extraction. AMDA also offers innovative functionalities such as event searches on the content of the data in either visual or automated ways, generation, use and management of time tables (event lists). The general functionalities of AMDA are presented in the context of Space Weather with example scientific use cases.     

电磁式舵机的驱动设计试验与仿真

针对一种电磁式舵机,基于虚拟仪器技术设计了相应的测试系统,对舵机的动态性能进行了测试分析。考虑到铁磁阻的非线性和漏磁通的分散性,本文采用磁路微分法建立了舵机电磁铁的数学模型,对其动态特性进行仿真分析。结果表明:舵机的性能满足系统设计要求。试验结果与仿真结果基本一致,仿真计算可以用于舵机性能的优化与分析。     

会计学专业实践教学体系创新研究

高等工科院校会计学专业实践教学体系的构建应充分体现“强化应用、重视实践、突出创新”的人才培养思路，科学地设计出实践教学的各个环节，使实践教学体系整体贯通，在时间上全程化，在结构上层次化，在形式上多元化。     

高强度钢Domex700MCD焊接性能研究

分析了Domex700MCD焊接性,并通过试验及数据分析表明,在焊接工艺中,采用混合气体保护焊、低合金结构钢焊丝ER69-3,通过控制焊接线能量,运用合理的焊接规范,可获得良好的焊缝机械性能。     

高转速风扇叶片外物撞击损伤的定量评价方法

外物撞击是造成航空发动机风扇叶片变形、损伤甚至断裂的主要因素。针对外物撞击持续时间短、瞬间载荷大、损伤影 响因素多，难以进行定量损伤评价的问题，提出基于叶片损伤参数α的叶片损伤定量评价方法。以发动机风扇叶片受冰撞为例， 采用非接触叶尖计时测量方法，对叶片撞击产生的叶尖位移进行监测分析，验证了该方法的可行性。采用瞬态动力学分析方法对 叶片经受撞击过程进行全流程仿真模拟，并采用正交试验法定量研究了外物撞击过程中的撞击速度、叶片转速、撞击位置3种因 素对叶片损伤参数α的影响，拟合回归方程并绘制了这3种因素的3D响应曲面图，得到各因素的影响权重。结果表明：冰块速度 与撞击位置同时下降时，叶片损伤弱化效果显著。该方法可为大型风扇叶片抗外物打击性能设计和在役健康监测提供理论支撑。     

基于现代教育技术的虚拟实验系统构建模式的研究

虚拟实验系统是现代教育技术和实践教学理论相结合的产物。通过对网上虚拟实验系统构建技术的全面分析和总结 ,将适合于高职高专院校的虚拟实验教学系统的构建模式划分为模拟演示型、系统仿真型、虚拟操作训练型和真实测量型等四种类型 ,并给出了对于高职高专院校具有重要的意义的构建方案、实现思路、适用场合和应用案例     

虚拟现实技术在航空智能制造中的应用思考与展望

人机结合、虚实融合的新一代智能界面是智能制造的一个显著特征.虚拟现实技术作为一种高级人机交互技术,将在智能制造系统中发挥人与智能设备之间传递、交换信息媒介及对话接口的作用.随着智能制造系统的发展和虚拟现实技术的不断成熟和进步,虚拟现实必将逐步深入工业应用,在两化深度融合过程中充分发挥“智能之窗”的作用.     

Training effectiveness evaluation of helicopter emergency relief based on virtual simulation

Helicopters are playing an increasingly important part in emergency relief, such as earthquake rescue, firefighting and medical transport. With the development of virtual simulation technology, virtual simulation-based training is widely used in the training of the helicopter crew especially for the dangerous and costly missions mentioned above. A complete training effectiveness evaluation method is proposed to evaluate the trainees’ training effect based on virtual simulation in this paper. A key to this method is regarding the complicated process as a discrete event-activity flow system and establishing the evaluation indicator system. Then expert group and Analytical Network Process (ANP) are applied to determine the weight of indicators. When the training data are processed, there is a novel attempt to apply Fuzzy Comprehensive Evaluation (FCE) model to calculate the two categories of indicators. Eventually, an experiment and the analysis were carried out to validate the evaluation method.